MARC details
000 -LEADER |
fixed length control field |
02638nam a2200301 4500 |
001 - CONTROL NUMBER |
control field |
th490 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
ISI Library, Kolkata |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240923125845.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
210118b ||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
ISI Library |
Language of cataloging |
English |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Edition number |
23rd. |
Classification number |
571.95 |
Item number |
R595 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Sen, Rishika |
Relator term |
author |
245 10 - TITLE STATEMENT |
Title |
In silico identification of toxins and their effect on host pathways: |
Remainder of title |
feature extraction classification and pathway prediction/ |
Statement of responsibility, etc |
Rishika Sen |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Kolkata: |
Name of publisher, distributor, etc |
Indian Statistical Institute, |
Date of publication, distribution, etc |
2021 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
272 pages, |
502 ## - DISSERTATION NOTE |
Dissertation note |
Thesis (Ph.D.) - Indian Statistical Institute, 2021 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliography |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Introduction and Scope of the Thesis -- A Review on Host–Pathogen Interactions: Classification and Prediction -- PyPredT6: An Ensemble Learning-based System for Identification of Type VI Effector Proteins -- Cluster Quality-based Non-Reductional (CQNR) Oversampling Technique and Effector Protein Predictor Based on 3D Structure (EPP3D) of Proteins -- DeepT7: A Deep Neural Network System for Identification of Type VII Effector Proteins -- DeepT7: A Deep Neural Network System for Identification of Type VII Effector Proteins -- Boolean Logic-based Network Robustness Analyzer (BNRA) and Its Application<br/>to a System of Host-Pathogen Interactions -- Conclusions and Scope for Future Research |
508 ## - CREATION/PRODUCTION CREDITS NOTE |
Creation/production credits note |
Guided by Prof. Rajat K. De |
520 ## - SUMMARY, ETC. |
Summary, etc |
Identification of toxins, which are either proteins or small molecules, from pathogens is of paramount importance due to their crucial role as first-line invaders infiltrating a host, often leading to infection of the host. These toxins can affect specific proteins, like enzymes that catalyze metabolic pathways, affect metabolites that form the basis of metabolic reactions, and prevent the progression of those pathways, or more generally they may affect the regular functioning of other proteins in signaling pathways in the host. In this regard, the thesis addresses the problem of identification of toxins, and the effect of perturbations by toxins on the host pathways based on three tasks: feature extraction, classification and pathway prediction. The thesis starts with in silico identification of such toxins in pathogens. This is followed by the analysis of the effect of toxins on various metabolic and signaling pathways of the host. |
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Physiology and related subjects |
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Disease |
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Toxicology |
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Toxins |
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Pathway prediction |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Link text |
Full text |
Uniform Resource Identifier |
<a href="http://dspace.isical.ac.in:8080/jspui/handle/10263/7117">http://dspace.isical.ac.in:8080/jspui/handle/10263/7117</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
THESIS |